SKILLEMALL.ai

BB safe-shrink

密小件 · 文档减肥 / 脱敏 / SSD 转换桌面工具。触发词 / Triggers: .ssd, SafeShrink, 密小件, 文件减肥, 文档脱敏, token 压缩, .xls, .json, .xml, .yaml, .csv / document slimming, sanitization, token compression, structured sanitization

ClawHub Agent Skills author: JinwaTech金蛙科技 v1.2.15 MIT-0 4 files body ≈ 5 432 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 75/100 · Nearly there — weak spots: when it triggers, running it twice, progress reporting

ProcedureGitHubInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
53
Run on models
none yet
Process rating
B
75/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 密小件 · 文档减肥 / 脱敏 / SSD 转换桌面工具。触发词 / Triggers: .ssd, SafeShrink, 密小件… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5432 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 75/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5432 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 61 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • low 20 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • -242 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 198: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 61 items
  • +3Output format is stated explicitly
  • +4Has examples (21 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.

External checks

ClawHub: suspicious
SafeShrink has a coherent document-optimization purpose, but it asks an agent to auto-download and cache a Windows executable while making overly broad offline and safety claims.
LLM: suspicious (high) · VirusTotal: · 5 Jun 2026